Commit Offshore

We are looking for an experienced Senior Data Engineer to join a growing Data Engineering and Analytics department. In this role, you will design and develop advanced data solutions for complex customer environments, with a strong focus on Google Cloud Platform and modern GCP data technologies. You will work across the full data lifecycle- from architecture and data modeling to pipeline development, data platforms, analytics, and production deployment.

Key Responsibilities:

• Design and develop scalable data solutions on GCP.
• Lead the technical design and implementation of customer data projects.
• Understand business and technical requirements and translate them into effective data architectures.
• Build and maintain ETL/ELT pipelines, Data Lakes, Lakehouses, and cloud-based Data Warehouses.
• Design data models and integration processes for Batch and real-time workloads.
• Work with structured, semi-structured, and unstructured data.
• Select the appropriate technologies based on performance, scalability, security, and cost requirements.
• Implement data quality, monitoring, governance, and orchestration processes.
• Work closely with Data Architects, Data Engineers, DevOps teams, analysts, and customer stakeholders.
• Participate in the development of analytics, AI, and ML solutions where relevant.
  
  Requirements:
• At least 5 years of professional experience as a Data Engineer – mandatory.
• Proven hands-on experience developing data solutions on GCP – mandatory.
• Experience with data visualization tools such as Looker, Power BI, Tableau, or QuickSight.
• Experience with data modeling, orchestration, performance optimization, and large-scale data processing.
• Strong Python development skills, including building data pipelines and ETL/ELT processes.
• High proficiency in SQL – mandatory.
• Experience designing and developing cloud-based Data Warehouses and Lakehouse solutions.
• Experience with ETL/ELT and transformation tools such as dbt, Dataform, Rivery, or similar platforms.
• Familiarity with CI/CD, Git, Infrastructure as Code, and production deployment practices.
• Strong analytical and problem-solving skills with excellent attention to detail.
• Ability to learn new technologies independently and work across multiple projects.
• Strong experience with several of the following GCP services: BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer, Cloud Run or Cloud Functions
• Fluent English.
  
  Advantages
• Hands-on experience with AWS or Microsoft Azure data services.
• Experience with services such as AWS Glue, Redshift, EMR, Kinesis, Azure Data Factory, Synapse, or Databricks.
• Experience with real-time data processing and streaming architectures.
• Experience with Kafka or other event-driven platforms.
• Knowledge of AI and ML services such as Vertex AI, Gemini, BigQuery ML, SageMaker, Bedrock, or Azure Machine Learning.
• Relevant GCP professional certifications.
• Previous experience working in consulting or customer-facing technology projects.

We’re looking for a senior-level React engineer to own critical frontend experiences, collaborate closely with product/design, and help us scale BridgeWise to millions of users.

What you’ll do

• Design, build, and ship high-performance, responsive web UIs
• Partner with product managers, designers, and analysts to translate user needs into elegant product experiences
• Plan and execute short- and long-term roadmaps balancing user impact, technical quality, and delivery speed

• Raise the bar through code reviews, mentoring, and improvements to our tooling and processes

   

Must-have expertise

• Next.js (our web app is built with Next.js)
• Monorepos using Yarn Workspaces or Nx
• Tailwind CSS (our primary design system)
   

Technical requirements

• 5+ years of professional software development experience
• 5+ years with React and its ecosystem (e.g., Redux, React Router)
• Strong proficiency in JavaScript (ES6/ES7) and TypeScript
• Deep knowledge of HTML/CSS, responsive design, and accessibility (a11y) best practices
• Hands-on with modern build tooling and package managers (Vite, esbuild, Yarn)
• Experience with server-side rendering and Next.js, plus working knowledge of Node.js
• Comfortable with Git workflows and agile methodologies
• 3+ years working with major cloud providers (AWS/GCP/Azure)
• Storybook
   

Nice to have

• Experience with monorepo release management and internal package versioning
• Familiarity with performance profiling, Web Vitals, and SEO in Next.js
• E2E testing (Playwright/Cypress) and CI/CD pipelines
• Experience in fintech or data-heavy, real-time UIs

Role Overview:

We are seeking a highly experienced Senior Node.js Engineer to join our growing engineering team. As a senior member of our team, you will take on a leadership role in designing, implementing, and scaling highly performant systems. You will work with cloud infrastructure, primarily AWS, and build robust microservices, Big Data processing services, and data platforms that support high-load, real-time applications.

You will be responsible for architecting complex systems, ensuring scalability and efficiency while also providing mentorship to junior developers. This is an exciting opportunity for a self-driven, technically versatile engineer who is comfortable working independently and thrives in a fast-paced, collaborative environment.

Key Responsibilities:

• Architecture & Design: Lead the architecture and design of high-performance, scalable, and fault-tolerant Node.js applications, microservices, Big Data processing systems, and data pipelines running in a cloud environment (primarily AWS).
• Cloud Infrastructure: Utilize AWS services such as EC2, Lambda, RDS, S3, Kafka/MSK, SQS, and others to ensure that applications and data platforms are highly available, secure, and performant.
• Microservices & Event-Driven Systems: Build and manage distributed, high-load microservices and event-driven architectures that can scale effectively and handle large volumes of concurrent traffic and data.
• Data Infrastructure: Design and develop integrations and Big Data processing pipelines that ingest, transform, and distribute large volumes of data across operational and analytical systems.
• High-Performance Systems: Optimize Node.js applications and data processing workloads for performance under high load, ensuring minimal latency and maximum throughput.
• Multithreading: Implement advanced multithreading techniques to enhance system performance and concurrency.
• Code Quality & Best Practices: Write clean, maintainable, and efficient code while adhering to industry best practices and design patterns.

Part of the role will include integration with multiple external APIs, processing large volumes of data, and compiling it in a flexible way to accommodate various operational and analytical requirements.

Requirements

• 4+ years of Back end development
• In-depth knowledge and experience developing API’s and microservices
• Strong proficiency with JavaScript, and Knowledge of Node.js and frameworks available for it (such as Express or equivalent)
• Understanding the nature of asynchronous programming and its quirks and workarounds
• Understanding fundamental design principles behind a scalable application
• Experience working with various data storage solutions such as Redis, MongoDB, etc.
• Experience working with Queuing solutions such as gearman, RabbitMQ, SQS, etc.
• Implementing automated testing modules and unit tests
• Proficient understanding of code versioning tools, such as Git
• Experience with cloud services such as AWS and GCP
• Experience working with Linux
• Experience with CI/CD processes
• Bonus - Familiarity with K8S, and related frameworks such as helm, Argo-cd, Prometheus, etc.

We are looking for an AI/ML Research Scientist.

Requirements:

• PhD with 1+ years of research experience in Electrical Engineering, Computer Science, Information Systems, or a STEM-related field
• 1+ years of experience with modern machine learning architectures including Transformers, Graph Neural Networks, and Diffusion models
• Strong coding skills in Python and C++
• Experience with machine learning frameworks like PyTorch
• At least 1 publication in top machine learning conferences (NeurIPS, ICML, ICLR, etc.)
• Experience with deep learning on graphs (general graphs, circuit graphs, molecular graphs, or trees)
• Familiarity with classical search and optimization techniques (Genetic Algorithms, Monte-Carlo Tree Search, Dijkstra's Algorithm, etc.)
• Experience with EDA tools, either commercial or open-source
• Publications in top-tier venues focusing on AI for chip design or AI for materials science. 

We are looking for a Mid Data Engineer in Kraków, Poland who will own the company data lake — the system of record for millions of financial events a day (bets, wallet movements, live odds) across 12M+ active users. You decide how that data lands, is stored, retained, and governed on S3 + Snowflake/Databricks, so analytics, finance, and regulators all see accurate, reconciled data with zero drift from source.

Domain: Regulated iGaming / wallet & ledger data. Audit-heavy: regulators, finance and analytics all consume the same tables. Millions of financial events per day, terabyte-plus scale.
 

What you'll be doing:

• Own the lakehouse architecture: bronze/silver/gold layers, Iceberg/Delta tables, schema evolution.
• Land operational data via CDC streaming (Kafka, Debezium), handling late and duplicate events.
• Design data layout for speed and cost: partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
• Own retention and archival: storage tiering, regulatory retention, immutability, GDPR deletion.
• Guarantee correctness: freshness SLAs, drift detection, reconciliation against the source wallet and ledger systems.
• Own governance: catalog and lineage, row/column access control, PII masking, encryption, audit trails.
• Monitor ingestion health, data anomalies, and cloud storage/compute spend.
  
  Must-have:
• 3 years' experience in hands-on delivery within that architecture — pipelines, ingestion, models, monitoring
• Lakehouse architecture — bronze/silver/gold layering, an open table format (Iceberg, Delta, or Hudi), schema evolution.
• Data layout & query optimization at TB+ scale — partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
• Cloud lakehouse/DWH in production — Snowflake, Databricks, or BigQuery.
• CDC & streaming ingestion — Kafka + Debezium or equivalent; late, duplicate and out-of-order events.
• Strong SQL and data modeling — enough relational grounding to reason about the OLTP systems you capture from. Critical for financial ledgers.
• Correctness — freshness SLAs, drift detection, reconciliation against source wallet/ledger systems.
• Governance — catalogs, lineage, row/column access control, PII masking, retention, GDPR deletion.
• Cloud object storage — S3 or GCS, plus storage tiering and archival.

• Python and an orchestrator — Airflow or Dagster, as tools.

   

  Location & work model:

• Kraków, Poland. Hybrid — 2 days per week from the office.

Must-Have Requirements

• BSc in Electrical Engineering from a recognized university.
• Minimum 3 years of hands-on DFT experience — must. Senior-level profiles preferred.
• DFT methodologies: scan, ATPG, at-speed test, memory BIST, I/O DFT.
• Scan insertion and ATPG for stuck-at, transition-delay, bridging and IDDQ fault models; test-coverage improvement.
• DFT DRC analysis and coverage debug with Synopsys DFT Compiler / TestMAX (TetraMAX) / SpyGlass DFT or equivalent Siemens (Mentor) Tessent tools.
• Memory BIST — Tessent MBIST.
• Strong knowledge of JTAG IEEE 1149.1, IEEE 1149.6 and IEEE 1500 (formerly P1500).
• Hands-on design and implementation of DFT features.
• End-to-end DFT flow ownership: concept → tape-out → production.
• Gate-level simulation setup and runs (pattern validation).
• Formal equivalence checking.
• Perl / Tcl / UNIX scripting for flow automation.

Nice to Have

• Broader Siemens Tessent experience (ScanPro / TestKompress, LBIST) beyond MBIST.
• Advanced-node experience (7nm and below).
• Python for flow automation.

Kraków, Poland. Hybrid — 2 days per week from the office.
Own Caliente's data lake — the system of record for millions of financial events a day (bets, wallet movements, live odds) across 12M+ active users. You decide how that data lands, is stored, retained, and governed on S3 + Snowflake/Databricks, so analytics, finance, and regulators all see accurate, reconciled data with zero drift from source.

Kraków, Poland. Hybrid — 2 days per week from the office. 

What you'll be doing

• Own the lakehouse architecture: bronze/silver/gold layers, Iceberg/Delta tables, schema evolution.
• Land operational data via CDC streaming (Kafka, Debezium), handling late and duplicate events.
• Design data layout for speed and cost: partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
• Own retention and archival: storage tiering, regulatory retention, immutability, GDPR deletion.
• Guarantee correctness: freshness SLAs, drift detection, reconciliation against the source wallet and ledger systems.
• Own governance: catalog and lineage, row/column access control, PII masking, encryption, audit trails.
• Monitor ingestion health, data anomalies, and cloud storage/compute spend.

Must-have

• Lakehouse architecture — bronze/silver/gold layering, an open table format (Iceberg, Delta, or Hudi), schema evolution.
• Data layout & query optimization at TB+ scale — partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
• Cloud lakehouse/DWH in production — Snowflake, Databricks, or BigQuery.
• CDC & streaming ingestion — Kafka + Debezium or equivalent; late, duplicate and out-of-order events.
• Strong SQL and data modeling — enough relational grounding to reason about the OLTP systems you capture from. Critical for financial ledgers.
• Correctness — freshness SLAs, drift detection, reconciliation against source wallet/ledger systems.
• Governance — catalogs, lineage, row/column access control, PII masking, retention, GDPR deletion.
• Cloud object storage — S3 or GCS, plus storage tiering and archival.
• Python and an orchestrator — Airflow or Dagster, as tools.

Nice to have

• Fintech, iGaming, or another regulated, audit-heavy environment.
• Cost monitoring / FinOps for storage and compute spend.
• Hudi specifically; Dagster specifically.
• Immutability / WORM regulatory retention.

Role Overview:

We are looking for a Senior-level Automation QA Engineer to join our team in Poland. The role will primarily focus on API testing (80%) with UI testing (20%). You will help design, enhance, and maintain automation frameworks, ensuring efficient and scalable testing.

Key Responsibilities:

Automation Framework & Strategy

• Contribute to designing and improving automation testing strategies.
• Develop and maintain automation frameworks for API, UI, and LLM validation.
• Ensure scalability, maintainability, and reusability of automation code.

Test Development & Execution

• API Testing: Develop automated API tests in Python using the Requests library.
• UI Testing: Create and maintain UI tests with Playwright.
• Integrate automated tests with Postman collections where applicable.
• Execute performance, regression, and functional tests.

Continuous Integration & Deployment

• Integrate automation tests into CI/CD pipelines (Jenkins preferred).
• Work with Docker and Kubernetes to manage and scale test environments.

Collaboration & Documentation

• Collaborate with developers, QA, and DevOps teams to improve the QA process.
• Write test plans, strategies, and design documents.
• Track issues using Jira and manage test cases (Xray optional).
• Analyze logs, investigate failures, and troubleshoot in staging and production.

Required Qualifications & Experience:

Must-Have:

• 3-5 years of experience in test automation or a related QA role.
• Strong programming skills in Python.
• Solid experience in API automation (Requests library) and UI automation (Playwright).
• Experience with CI/CD tools (Jenkins preferred).
• Experience with Docker & Kubernetes for test environments.
• Strong analytical, problem-solving, and debugging skills.
• Experience with Jira for tracking and reporting.
• Ability to work independently and proactively in a fast-paced environment.

Nice to Have:

• Experience with Kafka.
• Familiarity with Xray for test management.
• Knowledge of AWS cloud services.

We are looking for a AI/ML Research Scientist to join our team.

Responsibilities

• Conduct cutting-edge research in applying machine learning techniques to chip design and optimization problems
• Develop and implement algorithms using graph neural networks, diffusion models, and other advanced ML architectures
• Collaborate with cross-functional teams including engineers and researchers
• Publish research findings in top-tier conferences and journals
• Prototype and validate new approaches using modern ML frameworks
• Contribute to open-source or commercial EDA tools

Minimum Qualifications

• PhD with 1+ years of research experience in Electrical Engineering, Computer Science, Information Systems, or STEM-related field
• 1+ years of experience with modern machine learning architectures including Transformers, Graph Neural Networks, and Diffusion models
• Strong coding skills in Python and C++
• Experience with machine learning frameworks like PyTorch
• At least 1 publication in top machine learning conferences (NeurIPS, ICML, ICLR, etc.)

Preferred Qualifications

• Experience with deep learning on graphs (general graphs, circuit graphs, molecular graphs, or trees)
• Familiarity with classical search and optimization techniques (Genetic Algorithms, Monte-Carlo Tree Search, Dijkstra's Algorithm, etc.)
• Experience with EDA tools, either commercial or open-source
• Publications in top-tier venues focusing on AI for chip design or AI for materials science

Role Overview:

We are looking for a Senior level Automation QA Engineer to join our team in Poland. The role will primarily focus on API testing (80%) with UI testing (20%). You will help design, enhance, and maintain automation frameworks, ensuring efficient and scalable testing.

Key Responsibilities:

Automation Framework & Strategy

• Contribute to designing and improving automation testing strategies.
• Develop and maintain automation frameworks for API, UI, and LLM validation.
• Ensure scalability, maintainability, and reusability of automation code.

Test Development & Execution

• API Testing: Develop automated API tests in Python using the Requests library.
• UI Testing: Create and maintain UI tests with Playwright.
• Integrate automated tests with Postman collections where applicable.
• Execute performance, regression, and functional tests.

Continuous Integration & Deployment

• Integrate automation tests into CI/CD pipelines (Jenkins preferred).
• Work with Docker and Kubernetes to manage and scale test environments.

Collaboration & Documentation

• Collaborate with developers, QA, and DevOps teams to improve the QA process.
• Write test plans, strategies, and design documents.
• Track issues using Jira and manage test cases (Xray optional).
• Analyze logs, investigate failures, and troubleshoot in staging and production.

Required Qualifications & Experience:

Must-Have:

• 3-5 years of experience in test automation or a related QA role.
• Strong programming skills in Python.
• Solid experience in API automation (Requests library) and UI automation (Playwright).
• Experience with CI/CD tools (Jenkins preferred).
• Experience with Docker & Kubernetes for test environments.
• Strong analytical, problem-solving, and debugging skills.
• Experience with Jira for tracking and reporting.
• Ability to work independently and proactively in a fast-paced environment.

Nice to Have:

• Experience with Kafka.
• Familiarity with Xray for test management.
• Knowledge of AWS cloud services.

Job Summary

We are seeking a Senior DevOps Engineer to build and maintain the cloud infrastructure supporting our CI/CD pipelines and production services. You will work closely with software engineers, fellow DevOps engineers, and other team members to automate, scale, secure, and continuously improve our platform.

Key Responsibilities

• Design, build, and maintain scalable, highly available, and secure infrastructure.
• Automate CI/CD pipelines and manage deployments to staging and production environments.
• Work with Kubernetes, Docker, and Helm for container orchestration and management.
• Manage and implement Infrastructure-as-Code using Terraform and Terragrunt.
• Set up and maintain monitoring and logging systems such as Prometheus, Grafana, and ELK/OpenSearch.
• Collaborate across engineering teams to ensure platform reliability, performance, and scalability.
• Maintain system security and implement DevOps and cloud infrastructure best practices.

Requirements

• 6+ years of experience as a DevOps Engineer in a production environment.
• Strong Linux and networking fundamentals.
• Proven experience working with managed cloud services, preferably AWS or GCP.
• Strong proficiency with Docker, Kubernetes, and Helm.
• Hands-on experience with Infrastructure-as-Code tools, including Terraform and Terragrunt.
• Experience with CI/CD tools, preferably GitHub Actions and self-hosted runners.
• Solid shell scripting skills and basic experience with Python or Go.
• Familiarity with security principles and industry best practices.
• Strong communication skills and the ability to work independently.

Expectations

• Ownership: When identifying a problem, take an active role in driving it toward resolution or ensure it is clearly and appropriately handed over to the relevant owner.
• Accountability: Follow through on commitments, communicate progress clearly, and raise risks or blockers at an early stage.
• Thinking Beyond Tickets: Look beyond assigned tasks and continuously identify opportunities to improve reliability, security, automation, observability, and overall operational excellence.

Job Summary

We are seeking a Senior DevOps Engineer to build and maintain the cloud infrastructure supporting our CI/CD pipelines and production services. You will work closely with software engineers, fellow DevOps engineers, and other team members to automate, scale, secure, and continuously improve our platform.

Key Responsibilities

• Design, build, and maintain scalable, highly available, and secure infrastructure.
• Automate CI/CD pipelines and manage deployments to staging and production environments.
• Work with Kubernetes, Docker, and Helm for container orchestration and management.
• Manage and implement Infrastructure-as-Code using Terraform and Terragrunt.
• Set up and maintain monitoring and logging systems such as Prometheus, Grafana, and ELK/OpenSearch.
• Collaborate across engineering teams to ensure platform reliability, performance, and scalability.
• Maintain system security and implement DevOps and cloud infrastructure best practices.

Requirements

• 6+ years of experience as a DevOps Engineer in a production environment.
• Strong Linux and networking fundamentals.
• Proven experience working with managed cloud services, preferably AWS or GCP.
• Strong proficiency with Docker, Kubernetes, and Helm.
• Hands-on experience with Infrastructure-as-Code tools, including Terraform and Terragrunt.
• Experience with CI/CD tools, preferably GitHub Actions and self-hosted runners.
• Solid shell scripting skills and basic experience with Python or Go.
• Familiarity with security principles and industry best practices.
• Strong communication skills and the ability to work independently.

Expectations

• Ownership: When identifying a problem, take an active role in driving it toward resolution or ensure it is clearly and appropriately handed over to the relevant owner.
• Accountability: Follow through on commitments, communicate progress clearly, and raise risks or blockers at an early stage.
• Thinking Beyond Tickets: Look beyond assigned tasks and continuously identify opportunities to improve reliability, security, automation, observability, and overall operational excellence.

A leading provider of innovative technology solutions, delivering cutting-edge services to businesses across various industries is looking for a Senior Python Developer. Our mission is to help organizations accelerate their digital transformation through scalable and secure backend technologies. Join us as we continue to drive growth, enhance customer experiences, and push the boundaries of technology.

Key Responsibilities:

• Backend Development: Develop, optimize, and maintain robust backend applications using Python (Django is a plus).
• Microservices Architecture: Design and implement scalable, efficient microservices architectures to support business needs.
• Cloud Solutions: Leverage AWS services (e.g., ECS, EKS, Lambda, S3, RDS) to design, develop, and deploy cloud-based applications.
• Kubernetes Management: Work with Kubernetes (K8s) to deploy and manage containerized applications ensuring smooth and efficient operations.
• Performance & Reliability: Ensure backend systems maintain optimal performance, reliability, and security to meet business and customer requirements.
• Collaboration & Strategy: Work closely with cross-functional teams to define system architecture and drive technical strategies for product development.
• Troubleshooting & Optimization: Identify and troubleshoot complex issues, applying solutions to improve system efficiency and reduce downtime.

Requirements:

• Experience: 7+ years of professional experience in software development, with a strong focus on backend technologies.
• Technical Skills:
  • Proficiency in Python (Django experience is a bonus).
  • In-depth understanding of Kubernetes (K8s) for container orchestration and management.
  • Experience in developing and deploying cloud solutions using AWS services, including ECS, EKS, Lambda, S3, and RDS.
  • Strong background in microservices architecture and distributed systems.
• Database Knowledge: Experience working with both relational and NoSQL databases.
• Problem-Solving: Strong debugging skills and a deep understanding of performance optimization techniques.
• Team Player: Ability to collaborate effectively with other developers, product managers, and engineers to ensure the success of key projects.

Preferred Qualifications:

• Knowledge of continuous integration and continuous delivery (CI/CD) pipelines.
• Experience with containerization tools like Docker.
• Familiarity with DevOps principles and practices

A leading provider of innovative technology solutions, delivering cutting-edge services to businesses across various industries is looking for a Senior Python Developer. Our mission is to help organizations accelerate their digital transformation through scalable and secure backend technologies. Join us as we continue to drive growth, enhance customer experiences, and push the boundaries of technology.

Key Responsibilities:

• Backend Development: Develop, optimize, and maintain robust backend applications using Python (Django is a plus).
• Microservices Architecture: Design and implement scalable, efficient microservices architectures to support business needs.
• Cloud Solutions: Leverage AWS services (e.g., ECS, EKS, Lambda, S3, RDS) to design, develop, and deploy cloud-based applications.
• Kubernetes Management: Work with Kubernetes (K8s) to deploy and manage containerized applications ensuring smooth and efficient operations.
• Performance & Reliability: Ensure backend systems maintain optimal performance, reliability, and security to meet business and customer requirements.
• Collaboration & Strategy: Work closely with cross-functional teams to define system architecture and drive technical strategies for product development.
• Troubleshooting & Optimization: Identify and troubleshoot complex issues, applying solutions to improve system efficiency and reduce downtime.

Requirements:

• Experience: 7+ years of professional experience in software development, with a strong focus on backend technologies.
• Technical Skills:
  • Proficiency in Python (Django experience is a bonus).
  • In-depth understanding of Kubernetes (K8s) for container orchestration and management.
  • Experience in developing and deploying cloud solutions using AWS services, including ECS, EKS, Lambda, S3, and RDS.
  • Strong background in microservices architecture and distributed systems.
• Database Knowledge: Experience working with both relational and NoSQL databases.
• Problem-Solving: Strong debugging skills and a deep understanding of performance optimization techniques.
• Team Player: Ability to collaborate effectively with other developers, product managers, and engineers to ensure the success of key projects.

Preferred Qualifications:

• Knowledge of continuous integration and continuous delivery (CI/CD) pipelines.
• Experience with containerization tools like Docker.
• Familiarity with DevOps principles and practices

Key responsibilities

• Own end-to-end solution architecture for data, analytics, and AI use cases, with accountability for design quality, security, scalability, supportability, and cost.
• Translate business needs into practical technical designs, target architectures, integration patterns, and delivery-ready implementation guidance.
• Lead by example through hands-on prototyping, architecture reviews, troubleshooting, code/design reviews, and technical support for delivery teams.
• Ensure security, governance, compliance, and operational readiness are built into solutions from design through production deployment.

Must have

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 10+ years of IT experience, including 5+ years in senior solution architecture roles for enterprise data, analytics, and AI platforms.
• 5+ years strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling, with the ability to build practical end-to-end solution designs.
• Strong experience with enterprise security, governance, and compliance, and the ability to work effectively with enterprise architects and guiding or regulatory functions to ensure solutions meet organizational standards and control requirements.
• Enterprise AI enablement experience: designing solutions with Azure OpenAI and retrieval-augmented (RAG) patterns.
• BI/analytics architecture experience with Power BI or a similar enterprise BI technology.

Advantages

• Deep hands-on expertise in Power BI architecture, including semantic models, DAX, Power Query, workspace strategy, governance, performance optimization, and enterprise reporting patterns.
• Experience with Microsoft-first AI platforms and services such as Azure AI Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, Prompt Flow, and enterprise AI governance patterns.
• Experience with Microsoft Fabric, Azure DevOps, GitHub Enterprise, and CI/CD for Data or AI solutions.
• Experience with Microsoft security and governance services such as Microsoft Entra, Purview, and Key Vault.
• Experience in life sciences, pharmaceuticals, or other regulated industries.
• Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture.

Key skills

• Hands-on technical leadership with a clear lead-by-example mindset.
• Strong architecture judgment across data, analytics, AI, integration, security, and non-functional requirements.
• Proven ability to own solution architecture end to end: shape target designs, validate them through prototyping or proof of concept where needed, guide delivery teams through implementation, and provide technical oversight through design reviews and production readiness checks.
• Ability to translate business problems into practical, delivery-ready technical solutions.
• Strong troubleshooting, decision-making, estimation, and risk management capability.
• Comfort working across distributed teams and external suppliers in enterprise delivery environments.
• Excellent communication skills in English, with the ability to drive alignment across architects, delivery teams, business stakeholders, and enterprise control functions.

Core technology stack

• Analytics: Power BI, semantic models, DAX, Power Query, Databricks, enterprise reporting and governance.
• Data platform: Azure Data Factory, Databricks, Azure data lake, SQL, dimensional modeling, ETL/ELT, orchestration.
• AI platform: Azure OpenAI, Azure AI Foundry, Azure AI Search, Copilot Studio, Semantic Kernel, Prompt Flow.
• Engineering and governance: Azure DevOps, GitHub Enterprise, CI/CD, Microsoft Entra, Purview, Key Vault.
• Optional / advantageous: Microsoft Fabric, Python, data observability and monitoring patterns.